Assistant Controller at Lambda

San Jose, California, United States

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$203,000 – $304,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Bachelor’s degree in Accounting or Finance, or a related field; CPA required
8+ years of progressive accounting experience, including Big 4 public accounting and corporate accounting leadership roles
Strong knowledge of US GAAP, SEC Reporting and SOX compliance
Proven track record of managing monthly, quarterly and annual close processes in a fast-paced environment
Experience with NetSuite
Excellent analytical, organizational, and problem-solving skills with a keen eye for detail
Strong leadership and communication skills, with the ability to collaborate cross-functionally, influence at all levels of the organization and articulate accounting concepts to non-accounting stakeholders
Maintain a high level of integrity and professionalism, with the ability to handle sensitive and confidential information
Ability to thrive in a dynamic, high-growth, and deadline-driven environment

Responsibilities

Oversee and manage the monthly, quarterly and annual close process to ensure accuracy and timeliness
Review journal entries, reconciliations, and account analyses prepared by the accounting team
Support preparation of SEC filings (10-K, 10-Q, 8-K, proxy statements) in compliance with US GAAP and SEC regulations
Partner with Sales Operations, FP&A, Tax, HR and other functions to ensure proper accounting and reporting of transactions
Assist with internal and external audits, providing documentation and analyses
Assist in driving process improvements and automation initiatives to shorten the close cycle and enhance reporting accuracy
Lead, mentor, and develop accounting team members, fostering a culture of collaboration, accountability, and continuous improvement
Participate in special projects such as system implementations, accounting policy development and other projects as needed
Assist in budgeting and forecasting activities, providing valuable insights and recommendations
Collaborate with cross-functional teams to ensure proper recording and allocation of expenses

Skills

US GAAP

SEC Reporting

SOX Compliance

Journal Entries

Reconciliations

SEC Filings

Audits

Process Improvements

Automation

Budgeting

Forecasting

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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